Data Product Delivery Lead, Climate Solutions America

About Carrier

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting‑edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share.

We continue to lead because of our world‑class, inclusive workforce that puts the customer at the center of everything we do.

The Data Product Delivery Leadis responsible for driving the successful delivery, adoption, and long‑term value of data products across commercial, operational, and customer‑facing domains. This includes areas such as parts and service, pricing, lead generation, external data integration, and broader commercial analytics. The role blends customer‑facing leadership with strong data engineering and data product creation skills, ensuring that solutions are built on modern open lakehouse architecture and aligned with Climate Solutions America ’s (CSA) business priorities.

This leader partners with cross‑functional teams to translate business objectives into scalable, production‑ready data products that support enterprise transformation.

• Customer & CSA Partnership
  • Serve as the primary delivery partner supporting CSA teams in shaping solution approaches, delivery plans, and customer adoption strategies across commercial and operational domains.
  • Lead discovery sessions with stakeholders in parts, pricing, sales operations, marketing, service, and analytics to define data product requirements and measurable outcomes.
  • Translate business needs into technical specifications, delivery roadmaps, and value‑focused product backlogs.
  • Build strong relationships with customer stakeholders to ensure alignment, transparency, and sustained value realization.
• Data Product Creation & Delivery Leadership
  • Own the end‑to‑end lifecycle of data products supporting use cases such as pricing optimization, parts availability insights, lead scoring, external data enrichment, customer segmentation, and commercial performance analytics.
  • Prioritize features and enhancements based on business value, feasibility, and customer impact.
  • Lead cross‑functional delivery teams—including data engineers, analysts, platform engineers, and SMEs—through Agile execution.
  • Ensure data products follow medallion architecture principles (bronze/silver/gold) for quality, scalability, and reusability.
• Data Engineering & Architecture
  • Oversee the design and development of data pipelines, transformations, and models using SQL, Python, and modern ETL/ELT frameworks.
  • Lead the implementation of open lakehouse architectures capable of supporting structured, semi‑structured, and unstructured data.
  • Ensure strong data quality, lineage, metadata management, and governance practices across all delivered products.
  • Support integration of diverse data sources including CRM, ERP/SAP, pricing systems, parts catalogs, marketing platforms, and external data providers.
• Cross‑Functional Collaboration
  • Partner with commercial, operational, customer success, and engineering teams to ensure alignment across strategy, delivery, and adoption.
  • Communicate progress, risks, and outcomes to internal and external stakeholders.
  • Support pre‑sales and solution‑shaping conversations when needed to validatedelivery feasibility and architectural direction.

• Bachelor’s degreein Computer Science, Data Science, or Engineering
• 5+ years of experience in a Product Management role; leading end‑to‑end product delivery, including product roadmapimplementation.
• 5+ years of experience with stakeholder management and cross‑functional collaboration across all organizational departments.
• 5+ years of experience in a data analytics or data engineering role building data models and production grade data products.
• 3+ years of experience in supply chain, logistics, or manufacturing industry.
• Must have unrestricted…